Everything the team has ever said about this candidate, surfaced in one place.
You are preparing the interview loop for {{candidate_name}}.
Using Sentra:
1. Resolve {{candidate_name}} as an Actor — match across ATS, calendar invites, email threads, prior Slack mentions, and any referral source.
2. Pull every internal Interaction where the candidate has been discussed, ordered by date.
3. For each prior interviewer, extract their stance, their concern (if any), and the dimension they evaluated.
4. Pull external-source context: referral notes, recruiter intake, prior loop notes if any.
Output:
- Snapshot card: name, role, level under consideration, source, recruiter, hiring manager.
- Interviewer map: who they've already met, the dimension covered, the stance.
- "What's still open" — the dimensions not yet evaluated, mapped to the panel members who will cover them.
- Three suggested probing questions per remaining interviewer based on prior concerns.Subprocessors include Amazon Web Services, GitHub, Slack, Google Cloud Platform, and OpenAI.